Enterprise Account Executive - Retail
Databricks
Enterprise Account Executive - Retail at Databricks is a full time role based in London, United Kingdom, United Kingdom. It was published on 14 July 2026 and was open at last check.
| Role | Enterprise Account Executive - Retail |
|---|---|
| Company | Databricks |
| Location | London, United Kingdom, United Kingdom |
| Employment type | Full Time |
| Published | 14 July 2026 |
| Status | Open at last check |
SLSQ327R434
Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.
We are looking for an Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Retail industry. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.
The impact you will have:
- Build strategic partnerships with top retail brands whilst managing complex sales cycles, driving innovation and growth.
- Collaborate with cross-functional teams to deliver value to customers.
- You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals
- You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
- You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement
- You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions
What we look for:
- Experience developing strong relationships with large (global) Enterprises global accounts, managing virtual teams, and leading complex sales campaigns in major retail accounts is essential
- You will have experience working in Big Data, Cloud, or SaaS industries
- A demonstrable history of exceeding sales quotas in high-growth Enterprise software companies
- Experience driving usage and commit-based engagement models and strategies working with professional services and training teams
- Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
- Experience co-developing business cases and gaining support from C-level Executives
- Knowledge of value-based selling and an ability to articulate that in complex environments
- Comfortable to be onsite with customer weekly (Northern England)
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Create your free OnJob profile to apply — we'll take you to Databricks's application after sign-up. · Posted 14 Jul 2026.
Enterprise Account Executive - Retail at Databricks — questions answered
What does the Enterprise Account Executive - Retail role at Databricks pay?
Databricks does not publish a salary on this Enterprise Account Executive - Retail listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Enterprise Account Executive - Retail role at Databricks based?
Databricks lists this Enterprise Account Executive - Retail role in London, United Kingdom, United Kingdom, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Databricks before you apply.
Is the Enterprise Account Executive - Retail role at Databricks still open?
The Enterprise Account Executive - Retail posting at Databricks was open at OnJob's last check of the employer's careers page, having been published on 14 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Enterprise Account Executive - Retail role at Databricks?
Apply to the Enterprise Account Executive - Retail at Databricks role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Databricks's own application page. Creating a profile is free and needs no card.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.